Discovery of widespread transcription initiation at microsatellites predictable by sequence-based deep neural network

Mammalian genomes are scattered with repetitive sequences, but their biology remains largely elusive. Here, the authors show that transcription can initiate from short tandem repetitive sequences, and that genetic variants linked to human diseases are preferentially found at repeats with high transc...

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Autores principales:	Mathys Grapotte, Manu Saraswat, Chloé Bessière, Christophe Menichelli, Jordan A. Ramilowski, Jessica Severin, Yoshihide Hayashizaki, Masayoshi Itoh, Michihira Tagami, Mitsuyoshi Murata, Miki Kojima-Ishiyama, Shohei Noma, Shuhei Noguchi, Takeya Kasukawa, Akira Hasegawa, Harukazu Suzuki, Hiromi Nishiyori-Sueki, Martin C. Frith, FANTOM consortium, Clément Chatelain, Piero Carninci, Michiel J. L. de Hoon, Wyeth W. Wasserman, Laurent Bréhélin, Charles-Henri Lecellier
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/2414817241b342aaa3ae4af0ca7b56ad
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spelling	oai:doaj.org-article:2414817241b342aaa3ae4af0ca7b56ad2021-12-02T17:51:27ZDiscovery of widespread transcription initiation at microsatellites predictable by sequence-based deep neural network10.1038/s41467-021-23143-72041-1723https://doaj.org/article/2414817241b342aaa3ae4af0ca7b56ad2021-06-01T00:00:00Zhttps://doi.org/10.1038/s41467-021-23143-7https://doaj.org/toc/2041-1723Mammalian genomes are scattered with repetitive sequences, but their biology remains largely elusive. Here, the authors show that transcription can initiate from short tandem repetitive sequences, and that genetic variants linked to human diseases are preferentially found at repeats with high transcription initiation level.Mathys GrapotteManu SaraswatChloé BessièreChristophe MenichelliJordan A. RamilowskiJessica SeverinYoshihide HayashizakiMasayoshi ItohMichihira TagamiMitsuyoshi MurataMiki Kojima-IshiyamaShohei NomaShuhei NoguchiTakeya KasukawaAkira HasegawaHarukazu SuzukiHiromi Nishiyori-SuekiMartin C. FrithFANTOM consortiumClément ChatelainPiero CarninciMichiel J. L. de HoonWyeth W. WassermanLaurent BréhélinCharles-Henri LecellierNature PortfolioarticleScienceQENNature Communications, Vol 12, Iss 1, Pp 1-18 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Mathys Grapotte Manu Saraswat Chloé Bessière Christophe Menichelli Jordan A. Ramilowski Jessica Severin Yoshihide Hayashizaki Masayoshi Itoh Michihira Tagami Mitsuyoshi Murata Miki Kojima-Ishiyama Shohei Noma Shuhei Noguchi Takeya Kasukawa Akira Hasegawa Harukazu Suzuki Hiromi Nishiyori-Sueki Martin C. Frith FANTOM consortium Clément Chatelain Piero Carninci Michiel J. L. de Hoon Wyeth W. Wasserman Laurent Bréhélin Charles-Henri Lecellier Discovery of widespread transcription initiation at microsatellites predictable by sequence-based deep neural network
description	Mammalian genomes are scattered with repetitive sequences, but their biology remains largely elusive. Here, the authors show that transcription can initiate from short tandem repetitive sequences, and that genetic variants linked to human diseases are preferentially found at repeats with high transcription initiation level.
format	article
author	Mathys Grapotte Manu Saraswat Chloé Bessière Christophe Menichelli Jordan A. Ramilowski Jessica Severin Yoshihide Hayashizaki Masayoshi Itoh Michihira Tagami Mitsuyoshi Murata Miki Kojima-Ishiyama Shohei Noma Shuhei Noguchi Takeya Kasukawa Akira Hasegawa Harukazu Suzuki Hiromi Nishiyori-Sueki Martin C. Frith FANTOM consortium Clément Chatelain Piero Carninci Michiel J. L. de Hoon Wyeth W. Wasserman Laurent Bréhélin Charles-Henri Lecellier
author_facet	Mathys Grapotte Manu Saraswat Chloé Bessière Christophe Menichelli Jordan A. Ramilowski Jessica Severin Yoshihide Hayashizaki Masayoshi Itoh Michihira Tagami Mitsuyoshi Murata Miki Kojima-Ishiyama Shohei Noma Shuhei Noguchi Takeya Kasukawa Akira Hasegawa Harukazu Suzuki Hiromi Nishiyori-Sueki Martin C. Frith FANTOM consortium Clément Chatelain Piero Carninci Michiel J. L. de Hoon Wyeth W. Wasserman Laurent Bréhélin Charles-Henri Lecellier
author_sort	Mathys Grapotte
title	Discovery of widespread transcription initiation at microsatellites predictable by sequence-based deep neural network
title_short	Discovery of widespread transcription initiation at microsatellites predictable by sequence-based deep neural network
title_full	Discovery of widespread transcription initiation at microsatellites predictable by sequence-based deep neural network
title_fullStr	Discovery of widespread transcription initiation at microsatellites predictable by sequence-based deep neural network
title_full_unstemmed	Discovery of widespread transcription initiation at microsatellites predictable by sequence-based deep neural network
title_sort	discovery of widespread transcription initiation at microsatellites predictable by sequence-based deep neural network
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/2414817241b342aaa3ae4af0ca7b56ad
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Discovery of widespread transcription initiation at microsatellites predictable by sequence-based deep neural network

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